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<a href="_c_k_means_impl_8cs.html">Go to the documentation of this file.</a><div class="fragment"><pre class="fragment"><a name="l00001"></a>00001 ﻿using System;
<a name="l00002"></a>00002 <span class="keyword">using</span> System.Collections.Generic;
<a name="l00003"></a>00003 <span class="keyword">using</span> System.Linq;
<a name="l00004"></a>00004 <span class="keyword">using</span> System.Text;
<a name="l00005"></a>00005 
<a name="l00006"></a><a class="code" href="namespace_cluster_aggregation_1_1_clusterers.html">00006</a> <span class="keyword">namespace </span>ClusterAggregation.Clusterers
<a name="l00007"></a>00007 {
<a name="l00008"></a>00008     <span class="keyword">using</span> Datum;
<a name="l00009"></a>00009     <span class="keyword">using</span> DataSets;
<a name="l00013"></a><a class="code" href="class_cluster_aggregation_1_1_clusterers_1_1_c_k_means_impl.html">00013</a>     <span class="keyword">public</span> <span class="keyword">class </span><a class="code" href="class_cluster_aggregation_1_1_clusterers_1_1_c_k_means_impl.html">CKMeansImpl</a>:<a class="code" href="interface_cluster_aggregation_1_1_clusterers_1_1_i_clusterer.html">IClusterer</a>
<a name="l00014"></a>00014     {
<a name="l00016"></a>00016         <span class="keyword">private</span> <span class="keywordtype">object</span> m_lock = <span class="keyword">new</span> object();
<a name="l00018"></a>00018         <span class="keyword">private</span> <span class="keywordtype">int</span> m_numberOfClusters = 3;
<a name="l00020"></a>00020         <span class="keyword">private</span> <span class="keywordtype">bool</span>    m_notConverged;
<a name="l00022"></a>00022         <span class="keyword">private</span> <a class="code" href="class_cluster_aggregation_1_1_datum_1_1_a_data.html">AData</a>[] m_clusterCentroids;
<a name="l00024"></a>00024         <span class="keyword">private</span> <span class="keywordtype">int</span>[]   m_datumLocation;
<a name="l00026"></a>00026         <span class="keyword">private</span> <a class="code" href="interface_cluster_aggregation_1_1_datum_1_1_i_similarity.html">ISimilarity</a> m_distanceFunction;
<a name="l00028"></a>00028         <span class="keyword">private</span> <span class="keywordtype">int</span> m_maxIterations;
<a name="l00030"></a>00030         <span class="keyword">private</span> <span class="keywordtype">int</span>[] m_objectsInCluster;
<a name="l00031"></a>00031        
<a name="l00040"></a><a class="code" href="class_cluster_aggregation_1_1_clusterers_1_1_c_k_means_impl.html#aa6800f8de6b02782f62d8eaaf4d5a9c1">00040</a>         <span class="keyword">virtual</span> <span class="keyword">public</span> <a class="code" href="class_cluster_aggregation_1_1_data_sets_1_1_c_partition.html">CPartition</a> cluster(<a class="code" href="class_cluster_aggregation_1_1_datum_1_1_a_data.html">AData</a>[] arg, <a class="code" href="interface_cluster_aggregation_1_1_datum_1_1_i_similarity.html">ISimilarity</a> distFunc, <span class="keywordtype">int</span> k)
<a name="l00041"></a>00041         {
<a name="l00042"></a>00042             <a class="code" href="class_cluster_aggregation_1_1_data_sets_1_1_c_partition.html">CPartition</a> rez = <span class="keyword">new</span> <a class="code" href="class_cluster_aggregation_1_1_data_sets_1_1_c_partition.html">CPartition</a>();
<a name="l00043"></a>00043             rez.<a class="code" href="class_cluster_aggregation_1_1_data_sets_1_1_c_partition.html#a1be9e2847752c965f383b344318065b7">name</a> = <span class="stringliteral">&quot;K-Means&quot;</span>;
<a name="l00044"></a>00044             lock (m_lock)
<a name="l00045"></a>00045             {
<a name="l00046"></a>00046                 <span class="comment">// init class</span>
<a name="l00047"></a>00047                 this.m_distanceFunction = distFunc;
<a name="l00048"></a>00048                 m_numberOfClusters = k;
<a name="l00049"></a>00049                 m_notConverged = <span class="keyword">true</span>;
<a name="l00050"></a>00050                 m_clusterCentroids = <span class="keyword">new</span> <a class="code" href="class_cluster_aggregation_1_1_datum_1_1_a_data.html">AData</a>[k];
<a name="l00051"></a>00051                 m_datumLocation = <span class="keyword">new</span> <span class="keywordtype">int</span>[arg.Length];
<a name="l00052"></a>00052                 m_objectsInCluster = <span class="keyword">new</span> <span class="keywordtype">int</span>[k];
<a name="l00053"></a>00053 
<a name="l00054"></a>00054                 setRandomCenters(arg);
<a name="l00055"></a>00055 
<a name="l00056"></a>00056                 <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0,j=0; (i &lt; m_maxIterations) &amp;&amp; j&lt;5; i++)
<a name="l00057"></a>00057                 {
<a name="l00058"></a>00058                     assignToClusteroids(arg);
<a name="l00059"></a>00059                     recalculateCentroids(arg);
<a name="l00060"></a>00060 
<a name="l00061"></a>00061                     <span class="keywordflow">if</span> (m_notConverged == <span class="keyword">false</span>)
<a name="l00062"></a>00062                         j++;
<a name="l00063"></a>00063                     <span class="keywordflow">else</span>
<a name="l00064"></a>00064                         j = 0;
<a name="l00065"></a>00065                 } <span class="comment">// end of main loop;</span>
<a name="l00066"></a>00066 
<a name="l00067"></a>00067                 <span class="comment">// assign data to specific cluster</span>
<a name="l00068"></a>00068                 assignData(arg,rez);
<a name="l00069"></a>00069 
<a name="l00070"></a>00070             } <span class="comment">// end of lock</span>
<a name="l00071"></a>00071             <span class="keywordflow">return</span> rez;
<a name="l00072"></a>00072         } <span class="comment">// end of function cluster</span>
<a name="l00073"></a>00073 
<a name="l00078"></a><a class="code" href="class_cluster_aggregation_1_1_clusterers_1_1_c_k_means_impl.html#acf1d30a7e4a436be176a61de806c2976">00078</a>         <span class="keyword">public</span> <a class="code" href="class_cluster_aggregation_1_1_clusterers_1_1_c_k_means_impl.html">CKMeansImpl</a>(<span class="keywordtype">int</span> numOfIterations = 1500)
<a name="l00079"></a>00079         {
<a name="l00080"></a>00080             m_maxIterations = numOfIterations;
<a name="l00081"></a>00081         }
<a name="l00082"></a>00082 
<a name="l00087"></a><a class="code" href="class_cluster_aggregation_1_1_clusterers_1_1_c_k_means_impl.html#ae86cb7209b3cd951c4474abf058a8a62">00087</a>         <span class="keyword">public</span> <span class="keywordtype">void</span> recalculateCentroids(<a class="code" href="class_cluster_aggregation_1_1_datum_1_1_a_data.html">AData</a>[] arg)
<a name="l00088"></a>00088         {
<a name="l00089"></a>00089             LinkedList&lt;AData&gt; tmp = <span class="keyword">new</span> LinkedList&lt;AData&gt;();
<a name="l00090"></a>00090           
<a name="l00091"></a>00091 
<a name="l00092"></a>00092             <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; m_clusterCentroids.Length; i++)
<a name="l00093"></a>00093             {
<a name="l00094"></a>00094                 m_clusterCentroids[i].zerodize();
<a name="l00095"></a>00095                 m_objectsInCluster[i] = 0;
<a name="l00096"></a>00096             }
<a name="l00097"></a>00097 
<a name="l00098"></a>00098             <span class="comment">// calculate number of objects for each cluster</span>
<a name="l00099"></a>00099             <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; arg.Length; i++)
<a name="l00100"></a>00100             {
<a name="l00101"></a>00101                 m_objectsInCluster[m_datumLocation[i]]++;
<a name="l00102"></a>00102             }
<a name="l00103"></a>00103 
<a name="l00104"></a>00104             <span class="comment">// recalculate actual centers</span>
<a name="l00105"></a>00105             <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; arg.Length; i++)
<a name="l00106"></a>00106             {
<a name="l00107"></a>00107                 m_clusterCentroids[m_datumLocation[i]].accumulate(arg[i], m_objectsInCluster[m_datumLocation[i]]);
<a name="l00108"></a>00108             }
<a name="l00109"></a>00109 
<a name="l00110"></a>00110             <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; m_objectsInCluster.Length ; i++)
<a name="l00111"></a>00111             {
<a name="l00112"></a>00112                 <span class="keywordflow">if</span> (m_objectsInCluster[i] &gt; 0)
<a name="l00113"></a>00113                 {
<a name="l00114"></a>00114                     tmp.AddFirst(m_clusterCentroids[i]);
<a name="l00115"></a>00115                 }
<a name="l00116"></a>00116             }
<a name="l00117"></a>00117 
<a name="l00118"></a>00118             <span class="keywordflow">if</span> (tmp != null)
<a name="l00119"></a>00119             {
<a name="l00120"></a>00120                 <span class="keywordtype">int</span> j = 0;
<a name="l00121"></a>00121                 <a class="code" href="class_cluster_aggregation_1_1_datum_1_1_a_data.html">AData</a>[] cntroids = tmp.ToArray();
<a name="l00122"></a>00122                 <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; m_objectsInCluster.Length; i++)
<a name="l00123"></a>00123                 {
<a name="l00124"></a>00124                     <span class="keywordflow">if</span> (m_objectsInCluster[i] == 0)
<a name="l00125"></a>00125                     {
<a name="l00126"></a>00126                         m_clusterCentroids[i].<a class="code" href="class_cluster_aggregation_1_1_datum_1_1_a_data.html#a30e1a713684e6bdd160d890d98264b34">accumulate</a>(cntroids[j], 0);
<a name="l00127"></a>00127                         j = (j + 1) % cntroids.Length;
<a name="l00128"></a>00128                     }
<a name="l00129"></a>00129                 }
<a name="l00130"></a>00130             }
<a name="l00131"></a>00131         }
<a name="l00132"></a>00132 
<a name="l00137"></a>00137         <span class="keyword">private</span> <span class="keywordtype">void</span> assignToClusteroids(<a class="code" href="class_cluster_aggregation_1_1_datum_1_1_a_data.html">AData</a>[] arg)
<a name="l00138"></a>00138         {
<a name="l00139"></a>00139             m_notConverged = <span class="keyword">false</span>;
<a name="l00140"></a>00140             <span class="keywordtype">int</span> oldLocation;
<a name="l00141"></a>00141             <span class="keywordtype">double</span> minDistance;
<a name="l00142"></a>00142             <span class="keywordtype">double</span> tmpDistance;
<a name="l00143"></a>00143             <span class="keywordtype">int</span> bestFittedCentroid;
<a name="l00144"></a>00144 
<a name="l00145"></a>00145             <span class="comment">// for each datum</span>
<a name="l00146"></a>00146             <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; arg.Length; i++)
<a name="l00147"></a>00147             {
<a name="l00148"></a>00148                 oldLocation = m_datumLocation[i];
<a name="l00149"></a>00149 
<a name="l00150"></a>00150                 minDistance = m_distanceFunction.similarity(arg[i], m_clusterCentroids[0]);
<a name="l00151"></a>00151                 bestFittedCentroid = 0;
<a name="l00152"></a>00152 
<a name="l00153"></a>00153                 <span class="comment">// give a chance to each cluster</span>
<a name="l00154"></a>00154                 <span class="keywordflow">for</span> (<span class="keywordtype">int</span> j = 1; j &lt; m_numberOfClusters; j++)
<a name="l00155"></a>00155                 {
<a name="l00156"></a>00156                     tmpDistance = m_distanceFunction.similarity(arg[i], m_clusterCentroids[j]);
<a name="l00157"></a>00157                     <span class="keywordflow">if</span> (tmpDistance &lt; minDistance)
<a name="l00158"></a>00158                     {
<a name="l00159"></a>00159                         minDistance = tmpDistance;
<a name="l00160"></a>00160                         bestFittedCentroid = j;
<a name="l00161"></a>00161                     }
<a name="l00162"></a>00162                 }
<a name="l00163"></a>00163 
<a name="l00164"></a>00164                 m_datumLocation[i] = bestFittedCentroid;
<a name="l00165"></a>00165 
<a name="l00166"></a>00166                 <span class="comment">// if location&#39;s changed even once, continue loop</span>
<a name="l00167"></a>00167                 <span class="keywordflow">if</span> (oldLocation != m_datumLocation[i])
<a name="l00168"></a>00168                     m_notConverged = <span class="keyword">true</span>;
<a name="l00169"></a>00169             }            
<a name="l00170"></a>00170         }
<a name="l00171"></a>00171 
<a name="l00177"></a>00177         <span class="keyword">private</span> <span class="keywordtype">void</span> assignData(AData[] arg,CPartition cont)
<a name="l00178"></a>00178         {
<a name="l00179"></a>00179 
<a name="l00180"></a>00180             CCluster[] clusters = <span class="keyword">new</span> CCluster[m_numberOfClusters];
<a name="l00181"></a>00181             <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; m_numberOfClusters; i++)
<a name="l00182"></a>00182             {
<a name="l00183"></a>00183                 clusters[i] = <span class="keyword">new</span> CCluster();
<a name="l00184"></a>00184             } <span class="comment">// finished allocating objects</span>
<a name="l00185"></a>00185 
<a name="l00186"></a>00186             
<a name="l00187"></a>00187             <span class="comment">// assign each datum to selected cluster</span>
<a name="l00188"></a>00188             <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; arg.Length; i++)
<a name="l00189"></a>00189             {
<a name="l00190"></a>00190                 clusters[m_datumLocation[i]]._data.Add(arg[i]);
<a name="l00191"></a>00191             }
<a name="l00192"></a>00192 
<a name="l00193"></a>00193 
<a name="l00194"></a>00194             <span class="comment">// add objects to container to create a partition (or clustering)</span>
<a name="l00195"></a>00195             <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; m_numberOfClusters; i++)
<a name="l00196"></a>00196             {
<a name="l00197"></a>00197                 cont._clusters.Add(clusters[i]);
<a name="l00198"></a>00198             }
<a name="l00199"></a>00199         }<span class="comment">// end of assignData</span>
<a name="l00200"></a>00200 
<a name="l00205"></a>00205         <span class="keyword">private</span> <span class="keywordtype">void</span> setRandomCenters(AData[] arg)
<a name="l00206"></a>00206         {
<a name="l00207"></a>00207             <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; m_clusterCentroids.Length; i++)
<a name="l00208"></a>00208             {
<a name="l00209"></a>00209                 m_clusterCentroids[i] = arg[0].getRandomDatum();
<a name="l00210"></a>00210             }
<a name="l00211"></a>00211 
<a name="l00212"></a>00212         }<span class="comment">// end of setRandomCenters</span>
<a name="l00213"></a>00213 
<a name="l00214"></a>00214     }
<a name="l00215"></a>00215 }
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